Optimal LQI and PID Synthesis for Speed Control of Switched Reluctance Motor Using Metaheuristic Techniques
Autor: | Darielson A. Souza, Wellington A. Silva, Laurinda L. N. Reis, Vinicius Alexandre de Mesquita, Josias G. Batista |
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Rok vydání: | 2020 |
Předmět: |
0209 industrial biotechnology
Electronic speed control Computer science Multivariable calculus PID controller 02 engineering and technology Linear-quadratic regulator Switched reluctance motor Computer Science Applications Weighting 020901 industrial engineering & automation Control and Systems Engineering Control theory Robustness (computer science) Metaheuristic |
Zdroj: | International Journal of Control, Automation and Systems. 19:221-229 |
ISSN: | 2005-4092 1598-6446 |
DOI: | 10.1007/s12555-019-0911-x |
Popis: | At present, switched reluctance motors (SRM) become very interesting for many industrial applications in variable speed control. For such systems, the linear quadratic regulator with integral action (LQI) method is commonly used when using plants in state spaces due to its robustness and easy adjustment. All methods from the linear quadratic regulator (LQR) project provide a weighting of the Q and R matrices, which are manually adjusted to achieve the desired performance. The manual fine tuning of LQI controller parameters is a difficult task that requires a high level of domain knowledge. In this work, metaheuristic algorithms are explored to design the LQI controller and a comprehensive comparison is made between these algorithms and Proportional-Integral-Derivative (PID) controller as well as to select the best technique for the LQI controller design and adjustment of the Q and R parameters in SR Motor. Simulation and experimental results on a setup prototype are shown to validate the proposed control schemes. This paper has as main contributions the weighting of the parameters of the LQI in an optimized way and adjustment of the gains of the controller more quickly and the hybrid controller (LQI + GA) becomes more powerful in the sense of a possible extension of the control of a multivariable system. |
Databáze: | OpenAIRE |
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